Browsing by Author "Al-ani, Younis Muhsin Younis"
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thesis.listelement.badge NEURAL NETWORK PREDICTION OF FLASH POINT OF DIESEL FUEL FROM ITS CHEMICAL COMPOSITION AND PHYSICAL PROPERTIES(2022-02-25) Al-ani, Younis Muhsin Younis; Kayı, HakanThe flash point is important in engineering calculations, so this study has two major purposes. The first purpose of the study is to predict the flash point from its chemical composition and physical properties by using artificial neural network to decrease time and cost spent on experimental analysis of flash point, and the second purpose is to find the simplest formula to predict the flash point. Artificial Neural Networks is applied as a black-box type modeling for flash point prediction of diesel fuel. The experimental data used in this study is obtained from Erbil power station. Every truck holding diesel fuel needs to be monitored, especially for the flash point test. In this study, the Levenberg-Marquardt training algorithm is utilized to train the neural network and to predict the flash point. The network performance is evaluated through network test results, mean squared error analysis, regression corrections and error histograms. The findings obtained in this study indicated that the designed neural network performs quite well in the prediction of flash point of diesel fuel from its chemical composition and physical properties.